语音识别移动机器在工程中的应用

语音识别移动机器在工程中的应用(中文4000字,英文2000字)
摘要--本文介绍了一种语音识别系统的预期技术，它涉及机电应用中的语音控制技术，特别是使用语音控制技术的移动机器和为残疾人开发的智能轮椅。我们做这个研究的目的是使用自然并且直接的交互方式来与机器进行交互。本文研究的是如何在高识别率的条件下对语音进行处理来让轮椅合理并且安全的移动。为了使语音成为人与机器之间高效的交互方式，必须让语音识别的识别率达到很高的水平。但是在常规环境下，语音识别想要达到百分之一百的识别率几乎是不可能实现的。在这一篇文章中，我们将所提出的被称之为多重脊波变换的技术应用到针对孤立词的语音识别当中。最后我们使用神经网络（NNT）的输出，通过笔记本电脑和专用硬件接口来控制轮椅的行动。设计的系统的语音识别的正确率达到了百分之九十八。
Application of Mobile Robots by Using Speech Recognition in Engineering
Abstract--This Chapter presents an expected technique of speech recognition system and it relates to voice control of electromechanical application, especially voice controlled mobile robots or intelligent wheelchair for handicapped people. Our aim is to interact with the robot using natural and direct communication techniques. The aim of this Chapter is that how the voice can be processed to obtain proper and safe wheelchair movement by high recognition rate. In order to make voice an effective communication tool between human and robots, high speech recognition rate must be achieved. But one hundred percent speech recognition rate under a general environment is almost difficult to achieve. In this Chapter, proposed technique called (Multiregdilet transform) is used for lonely words recognition. Finally use the outputs of neural network (NNT) to control the wheelchair through computer note books and special interface hardware. A successful recognition rate of 98% was achieved.